A unified framework for the estimation of intra and inter country food purchasing power parities

2016 ◽  
Vol 9 (1) ◽  
pp. 2-31 ◽  
Author(s):  
Amita Majumder ◽  
Ranjan Ray ◽  
Kompal Sinha

Purpose The purpose of this paper is to extend the methodology proposed in Majumder et al. (2012) for the estimation of the item-specific purchasing power parities (PPPs) within countries, to the cross-country context. It estimates item-specific intra-country PPPs (i.e. spatial prices) and inter-country PPPs in a unified framework using unit records of household food expenditures from three Asian countries: India, Indonesia and Vietnam, covering contemporaneous time periods. The study addresses a key limitation of the International Comparison Program (ICP) exercise, namely, that it treats all countries, large and small, as homogeneous entities. Moreover, it directly calculates bilateral PPPs between countries based on their expenditure patterns and prices alone and directly estimates the price-level indices (PLI) and their standard errors, allowing formal tests of the hypothesis of PLI being unity. The usefulness of the estimated PPPs is illustrated by applying them to comparisons of real food expenditures between the three countries, and benchmarking the comparisons with those using the ICP PPPs. Design/methodology/approach The methodology is based on the fact that a spatial price index can be viewed as a true cost of living index (TCLI). Using a general cost function underlying the Rank 3 quadratic logarithmic systems, the TCLI is calculated for a reference utility level. Findings The study provides formal statistical tests of the hypothesis of item invariance of the PPPs. The usefulness of the proposed methodology is illustrated by applying the estimated PPPs in comparisons of food expenditures between subgroups in the three countries. The sensitivity of the expenditure comparisons to the use of item-wise PPPs underlines the need to provide price information on highly disaggregated PPPs to a much greater extent than the ICP has done to date. Research limitations/implications The choice of these three Asian countries was dictated by the fact that, though comparability of items between them remains an issue as with all cross-country comparisons. Also, in the absence of price data, this study followed the practice in Majumder et al. (2012, 2015a, 2015b) in using as proxies the raw unit values of the food items, but adjusted for quality and demographic factors using the procedure introduced by Cox and Wohlgenant (1986) and extended by Hoang (2009). Practical implications It addresses some limitations of the ICP, namely, ICP treats all countries as single entities with the purchasing power of the country’s currency assumed to be the same in all regions within the country, ICP uses the US dollar as the numeraire (this ignores the fact that the PPPs required in bilateral welfare comparisons between developing countries with vastly different consumption habits from the “international norm” are quite different from the ICP PPPs) and ICP uses distribution invariant prices to calculate PPPs, which overlooks the fact that the poor pay different prices from the “representative” individual. Social implications This study highlights the importance of estimating and using item-specific PPPs in cross-country comparisons by formally testing and rejecting the assumption of item invariant PPPs and by providing empirical evidence that they do make a difference to the welfare comparisons between countries. This study provides PPPs based on food items only, which may be more relevant for poverty comparisons. Originality/value It introduces, for the first time, the concept of item-specific PPPs between countries as estimable parameters and operationalizes this concept by using them in cross-country welfare comparisons.

2008 ◽  
Vol 17 (S1) ◽  
pp. S95-S103 ◽  
Author(s):  
Jonas Schreyögg ◽  
Oliver Tiemann ◽  
Tom Stargardt ◽  
Reinhard Busse

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thai-Ha Le ◽  
Donghyun Park ◽  
Cynthia Castillejos-Petalcorin

PurposeThis policy paper compares the performance of state-owned enterprise (SOEs) versus private firms in selected emerging economies in Asia, focusing on a number of performance indicators. The indicators are internationally recognized quality innovation, product and/or service innovation, financing of operations, dealing with government regulations and labor performance. To the best of the authors’ knowledge, there has been no such comparative study for these indicators between SOEs and private firms and across countries. Most studies of SOEs have been national case studies. As such, they give us little knowledge of how a country compares with other countries at similar stages of economic development. A cross-country comparative analysis can help us identify broader trends and patterns.Design/methodology/approach The authors compare and discuss the performance of SOEs versus private firms in a number of emerging Asian countries, namely China, India, Indonesia, Malaysia and Vietnam. To do so, the authors use data from the 2018 World Bank Enterprise Survey (which is the latest available) for the period 2012–2015. The authors focus on a number of key performance indicators, namely internationally recognized quality innovation, product and/or service innovation, financing of operations, dealing with government regulations and labor performance.Findings The comparative analysis uncovers some interesting differences between the two types of firms. For example, somewhat surprisingly, SOEs tend to innovate more than private firms. However, the single most significant pattern the authors find is that in middle-income Asia both types of firms face formidable challenges with respect to doing business – e.g. scarcity of relevant training programs for employees. Therefore, the priority of policymakers must be to improve the overall business environment for all firms, regardless of their ownership structure.Research limitations/implicationsThe nature of this paper is a policy paper. This is because the data used in this study is survey data, conducted every four–five years (or more) for each country in the study and available for very few countries. As the data are not available for a continuous period of time, The authors could not conduct empirical research for this topic and thus made it a policy paper that presents a comparison across Asian countries as case studies.Originality/valueThe five selected Asian countries are interesting case studies for a comparative analysis since they are middle-income countries where SOEs play a significant role in the economy. Furthermore, state ownership is an important institutional dimension in emerging markets, and strong ties with the government can influence the performance of SOEs through various market and non-market channels. Despite the potential importance of the research theme, there is very little existing research on cross-country comparisons of the performance of SOEs vis-à-vis private firms. This could be explained by scarce data availability. With this in mind, the study attempts to shed some light on SOEs' performance and add to the rather limited literature.


2016 ◽  
Vol 37 (3) ◽  
pp. 394-425 ◽  
Author(s):  
Mrittika Shamsuddin

Purpose – The purpose of this paper is to investigate whether migrants from Bangladesh choose the destination that offers them the highest earnings and whether the relative stock of the skilled migrants in a destination increases with the earnings differences between the skilled and the unskilled. Design/methodology/approach – Using a nationally representative sample of both stayers and migrants from Bangladesh to all destinations and correcting for self-selection bias in earnings using a semi-parametric method developed by Dahl (2002), the author tests whether selection and sorting of Bangladeshi migrants depend on cross-country differences in the rewards to skills as suggested by the Roy (1951) model of comparative advantage. Findings – Migrants from Bangladesh not only choose the destinations that offer the highest earnings but also the destination that offers the highest earnings relative to the skill level of the migrants. Research limitations/implications – Due to the unavailability of data on recruiting agencies, we cannot investigate the role played by recruiting agencies in the migrant’s decision. Social implications – Policy-makers in both the sending and destination countries need to know how migrants choose their destinations in order to formulate effective and welfare-enhancing migration policies. Originality/value – This paper is the first to study how skill composition and earnings shape migration from Bangladesh using micro-level data. It is also the first to study sorting behavior of migrants from any South Asian countries.


2018 ◽  
Vol 13 (2) ◽  
pp. 179-190 ◽  
Author(s):  
T.M. Wong

Purpose The purpose of this paper is to identify the teaching innovations that have been implemented in higher education institutions in Asia and the perspectives of educators on them. Design/methodology/approach Semi-structured interviews were conducted with 28 educators who were affiliated with 23 higher education institutions in ten Asian countries/regions. The interviews covered information about the teaching innovations of the participants’ institutions, the characteristics of the innovative practices and the participants’ views on them. The relationships between the characteristics of institutions and their teaching innovations were also examined. Findings The results showed that the teaching innovations included two main categories, namely, those which involved the use of advanced technologies and those which did not. The innovations that involved the use of advanced technologies were mainly from larger institutions, while the other category was mainly from smaller ones and had been practised for less than 1.5 years. Differences were also identified between the two categories in terms of the aims and importance of innovations, innovative features, the evaluation of innovations and improvements needed for them. Originality/value The results highlighted that technology is only one of the many aspects of teaching innovations, which is different from the view prevailing in the literature. They also suggested that differences in the scale of institutions (in terms of number of students) possibly influences the kind of teaching innovations adopted.


2018 ◽  
Vol 15 (2) ◽  
pp. 254-272 ◽  
Author(s):  
Umamaheswari Elango ◽  
Ganesan Sivarajan ◽  
Abirami Manoharan ◽  
Subramanian Srikrishna

Purpose Generator maintenance scheduling (GMS) is an essential task for electric power utilities as the periodical maintenance activity enhances the lifetime and also ensures the reliable and continuous operation of generating units. Though numerous meta-heuristic algorithms have been reported for the GMS solution, enhancing the existing techniques or developing new optimization procedure is still an interesting research task. The meta-heuristic algorithms are population based and the selection of their algorithmic parameters influences the quality of the solution. This paper aims to propose statistical tests guided meta-heuristic algorithm for solving the GMS problems. Design/methodology/approach The intricacy characteristics of the GMS problem in power systems necessitate an efficient and robust optimization tool. Though several meta-heuristic algorithms have been applied to solve the chosen power system operational problem, tuning of their control parameters is a protracting process. To prevail over the previously mentioned drawback, the modern meta-heuristic algorithm, namely, ant lion optimizer (ALO), is chosen as the optimization tool for solving the GMS problem. Findings The meta-heuristic algorithms are population based and require proper selection of algorithmic parameters. In this work, the ANOVA (analysis of variance) tool is proposed for selecting the most feasible decisive parameters in algorithm domain, and the statistical tests-based validation of solution quality is described. The parametric and non-parametric statistical tests are also performed to validate the selection of ALO against the various competing algorithms. The numerical and statistical results confirm that ALO is a promising tool for solving the GMS problems. Originality/value As a first attempt, ALO is applied to solve the GMS problem. Moreover, the ANOVA-based parameter selection is proposed and the statistical tests such as Wilcoxon signed rank and one-way ANOVA are conducted to validate the applicability of the intended optimization tool. The contribution of the paper can be summarized in two folds: the ANOVA-based ALO for GMS applications and statistical tests-based performance evaluation of intended algorithm.


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